Karpathy's autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is being automated, and the knowledge workforce may be the next casualty.

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

The image of the lone, intuitive trader chasing quick profits is gradually giving way to something more disciplined. A growing cohort of retail traders is adopting principles long associated with ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

Abstract: Given today’s data-driven landscape, the art of transferring knowledge across diverse domains is really crucial for developing versatile and intelligent systems. This research paper presents ...

Abstract: Causal Question Answering (CQA) is essential for knowledge discovery, focusing on the intricate dynamics between events and entities without predefined contexts. Despite advancements of CQA ...

We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...